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On relationships between heat island and sky view factor in the cities of Tama River basin,Japan
Institution:1. Department of Neurology, the Second Hospital Affiliated to Shanxi Medical University, 382 Wuyi Road, Taiyuan, Shanxi 030000, China;2. Shanxi Medical University, 56 new south road, Taiyuan, Shanxi 030000, China;3. Clinical Laboratory, the Second Hospital Affiliated to Shanxi Medical University, 382 Wuyi Road, Taiyuan, Shanxi 030000, China;1. School of Public Administration and Policy, Renmin University of China, Beijing 100872, China;2. Department of Agricultural, Environmental and Development Economics, Ohio State University, Columbus, OH 43210, USA;1. School of Public Policy and Urban Affairs, Northeastern University, Boston, MA, USA;2. Resilient Cities Laboratory, Northeastern University, Boston, MA, USA;3. Department of Civil and Environmental Engineering, Northeastern University, Boston, MA, USA
Abstract:This study aims at firstly identifying heat island phenomena, secondly relating heat island intensity to city size, and thirdly providing basic urban climatic information to city planners or ordinary citizens. Horizontal distributions of dry- and wet-bulb temperature were measured seasonally in small to medium sized cities by mobile observers. Also, at a fixed station, wind speed and wind direction in addition to temperature were observed.The cities selected for this were Tachikawa, Fuchu, Fussa, Higashimurayama and Akikawa, which are suburban cities in the W part of Tokyo. This area is part of the middle basin of Tama River. Observations were made both during the day and at night in winter (February and December), spring (March and May), summer (July and August) and autumn (October and November) over a period of maximum duration of 1.5 h. In all cities heat islands were observed to develop to some extent. Their intensities were largely dependent on weather conditions.Cities in Japan have been growing rapidly and randomly, and merging into neighbouring small cities or towns. This expansion is called sprawl. Due to these factors it is very difficult to determine a good indicator of city sizes, i.e. population or DID (Densely Inhabited District) population does not represent the effect of city size on heat island intensity. Sky view factors were determined using a fish-eye lens and a calculation chart.We therefore examined central urban area and sky view factor as a cause factor for heat islands. It is concluded that sky view factor is a very useful indicator of the effect of urbanization on heat island intensity.
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